301results about How to "Low application cost" patented technology

The present invention discloses a mechanical tensioning gravity energy storage power generation device based on a rail train and a power generation track line thereof, including a power station under the track, two rows of drive plates are arranged at the bottom of the train, the power station includes a box buried under the track, a power generation assembly is arranged in the box, the power generation assembly is arranged in the middle of the track, and the power generation assembly is connected to a tensioning rope assembly, the tensioning rope assembly includes a tensioning steel wire rope, one end of the tensioning steel wire rope is connected to the power generation assembly and arranged in the box, and the other end is connected to a mechanical tensioning adjustment assembly, the mechanical tensioning adjustment assembly is arranged outside the track, and the mechanical tensioning adjustment assembly drives the power generation assembly by adjusting the tensioning force of the tensioning steel wire rope, and is pressed toward the drive plate on the train. The present invention adopts a mechanical tensioning rope design to realize the pressing of the power generation assembly and the train drive plate, avoids the power station pressing being affected by the ambient temperature, improves the applicability of the power station, and is also more convenient for maintenance and adjustment.

The invention discloses a cross-cloud resource scheduling system and method based on deep learning, and the system comprises a resource monitoring service module which is used for monitoring resource information applied to a plurality of cross-cloud platforms, and the output end of the resource monitoring service module is connected to a data preprocessing module; the data preprocessing module carries out preprocessing operation on monitored data and then sends the data to the CNN prediction model, the CNN prediction model processes time series data through multiple convolutional layers based on the preprocessed data and captures resource use trend and periodic changes, and the model outputs resource demand prediction in a period of time in the future. And the output end of the resource scheduling module is connected with the strategy optimization module, the strategy optimization module outputs an optimal resource scheduling strategy to the strategy implementation module through processing scheduling, and the strategy implementation module executes the resource scheduling strategy. According to the scheme, real-time dynamic resource scheduling can be realized to meet the requirement of cross-cloud platform resource scheduling.

The invention relates to a transfer learning-based power distribution network measurement data super-resolution sensing method. The method comprises the steps that a high-frequency time sequence is acquired and preprocessed, and training sample data is obtained; a cascade model is constructed based on a graph attention network and a transformer network, the training sample data and an incidence matrix are input into the cascade model, the cascade model is pre-trained, and the incidence matrix represents the topological connection relation of the power distribution network; the cascade model after pre-training is divided into a learning device part and a decision-making device part, transfer learning training is carried out, model parameters reaching a training target are reserved, a final super-resolution perception model is obtained, the learning device part comprises all layers except a transformer linear output layer, and the decision-making device part comprises a transformer linear output layer; and inputting real-time measurement data into the super-resolution sensing model to obtain a super-resolution measurement generation result.

The invention discloses an emotional support dialogue system based on a variational Bayesian inverse reinforcement learning strategy, which is characterized by adopting a strategy emotional support dialogue system constructed by an emotional support strategy selection module, a dialogue common sense analysis and reasoning module and a reply generation module, the emotion support strategy selection module performs strategy selection through a dialogue state encoder and a variational Bayesian inverse reinforcement learning strategy selection module according to current dialogue historical information and used strategies; the dialogue common sense analysis and reasoning module generates common sense information analysis and prediction related to the current dialogue; and the reply generation module generates a reply according to the generated content and the dialogue history. Compared with the prior art, the method has the advantages that the information richness and accuracy of reply generation are enhanced, the strategy selection accuracy and the user experience in a strategy emotion support dialogue scene are effectively improved, and the method has good application prospects and commercial development value.

The invention discloses a method and a device for reasoning a hybrid expert model, which are used for solving the technical problem of low reasoning efficiency caused by the existing reasoning process based on the hybrid expert model. The method comprises the steps of obtaining a pre-running text data set, performing expert quantization on a preset hybrid expert model, and determining a quantized hybrid expert model; adopting a preset torch function to adjust an initial memory environment corresponding to the quantitative hybrid expert model according to the model configuration file of the quantitative hybrid expert model, and determining a target memory environment; in the target memory environment, inputting the pre-running text data set into the quantitative hybrid expert model for pre-running reasoning, and determining the average time length of model calculation; adopting a preset expert prefetching inequality to calculate the average duration according to the model, and calculating the number of prefetchable experts; and in the target memory environment, based on the number of prefetchable experts, reasoning the to-be-reasoned text data by adopting the quantitative mixed expert model, and outputting a model reasoning result.

The invention relates to the technical field of agricultural engineering, in particular to a flexible fruit adaptive initial grabbing force estimation system and method.Image data are obtained through a visual camera, and based on the image data, contour features and fruit hardness of a to-be-grabbed fruit are obtained through an image processing and neural network method; and then the estimation of the initial grabbing force of the fruit is completed. The method has the beneficial effects that the initial grabbing force of the flexible fruit is estimated only through machine vision without excessive sensors, the structure is simple, the cost is saved, meanwhile, based on industry application priori knowledge, a fruit category and maturity recognition model is designed, fruit hardness information is indirectly obtained, the model reasoning difficulty is reduced, and the working efficiency is improved. On the premise that the identification precision requirement is met, the requirement for the computing power of a computer is lowered.

The invention provides a diamond / copper multi-layer composite material capable of being subjected to high-temperature silver-copper welding, a preparation method of the diamond / copper multi-layer composite material and a heat dissipation device comprising the diamond / copper multi-layer composite material capable of being subjected to high-temperature silver-copper welding. The diamond / copper multilayer composite material capable of being subjected to high-temperature silver-copper welding is of a sandwich structure, a middle layer is made of a diamond / copper composite material, and an upper layer and a lower layer are respectively made of any one of tungsten copper, molybdenum copper and copper / molybdenum copper / copper (CPC material). The surface of the diamond / copper multilayer composite material is covered with the metal alloy material, so that the diamond / copper multilayer composite material has remarkably improved strength and lower thermal expansion coefficient at high temperature, and can be welded with ceramic at high temperature, so that a silver-copper solder can be used for replacing a gold-tin solder, and the application cost of the diamond / copper multilayer composite material is reduced.

The invention discloses a surface temperature detection method for a chip-level GaAs power device, and belongs to the technical field of semiconductor device temperature detection. The method comprises the following steps: acquiring a surface temperature image of a device in a working state, and identifying a plurality of virtual heat source points of the device according to the surface temperature image; arranging a plurality of thermocouples on the surface of the device; acquiring temperature images of the surface of the device at different environment temperatures, calculating a first test temperature of the virtual heat source point according to the temperature images, and acquiring a second test temperature of the virtual heat source point through a thermocouple; fitting a temperature compensation model of each virtual heat source point according to the environment surface temperature difference value and the test temperature difference value; and acquiring the environment temperature and the working temperature data of the virtual heat source point in real time, and correcting the working temperature data according to the environment temperature and the temperature compensation model. The working temperature data acquired by the thermocouple are compensated in real time through the environment temperature and the temperature compensation model, and high-precision device surface temperature detection is achieved.

According to the application of the bacteriophage to reduction of cholera transmission, the bacteriophage phi YSZKA is preserved in the China Center for Type Culture Collection on August 1, 2018, the preservation number is CCTCC NO: M 2018513, and the bacteriophage phi YSZKA is classified and named as klebsiella pneumoniae bacteriophage phi YSZKA. The method solves the problems of secondary pollution, wide transmission of vibrio cholerae and the like of the traditional split bacteriophage. The application of the bacteriophage can reduce the toxin production efficiency of vibrio cholerae in oceans, soil and sewers, thereby providing more possibilities for prevention and control of cholera epidemic situation and alleviation of cholera symptoms.

The invention relates to the technical field of fertilization equipment, in particular to an intelligent control device for precise application of water and fertilizer in sandy soil, which comprises a plurality of intelligent fertilization units, a fertilizer mixing box, a water tank, a material box, a water pump I, a water pump II, a material pump, a liquid supercharger, a controller and an operation panel, the water and nutrient probes are arranged, reasonable fertilization and irrigation can be achieved according to soil water and nutrient conditions of different depths, the peak value of water and fertilizer in a soil body is matched with growth of crop roots in different growth periods, the water and fertilizer utilization rate is increased to the maximum extent, and water and fertilizer loss is reduced; by arranging the channel in the drill bit, water and fertilizer can be applied to different depths, the water and nutrient contents of soil at different depths can be adjusted in combination with monitoring data of the water and nutrient probe, targeted fertilization according to water and nutrient deficiency conditions at different depths is realized, and the utilization efficiency of nutrients and water is improved to the greatest extent.

The invention relates to a manganese zinc ferrite composite magnetic catalyst and a preparation method thereof. The preparation method comprises the following steps: adding manganese nitrate, zinc nitrate and ferric nitrate into deionized water to form a metal ion solution; the preparation method comprises the following steps: adding ethylenediaminetetraacetic acid into a metal ion solution to form sol, performing heating dehydration treatment, grinding, and performing heat treatment to obtain manganese zinc ferrite nanoparticles; dissolving calcium nitrate, indium nitrate and thioacetamide in deionized water, then adding the manganese zinc ferrite nanoparticles to obtain a suspension of a reaction mixture, carrying out hydrothermal reaction, and carrying out subsequent extraction treatment to obtain the manganese zinc ferrite composite magnetic catalyst. The composite magnetic catalyst is prepared by utilizing a two-step hydrothermal method, the photocatalytic performance of the composite magnetic catalyst is remarkably improved, and the composite magnetic catalyst can be quickly and completely recycled through magnet adsorption, so that the photocatalytic performance of a single catalyst is improved, and quick recycling and cyclic utilization of the photocatalyst are realized; and the application cost of photocatalysis is reduced.

The invention discloses a large model domain security enhancement method based on a hybrid strategy, and discloses a system with the large model domain security enhancement method based on the hybrid strategy. According to the large model domain security enhancement method based on the hybrid strategy, a security defense strategy which does not need large model training and can be optimized for a domain specific security scene is provided. A user does not need to have a large language model fine tuning training technology basis and a data set construction basis, and does not need to have large-scale computing power. Security vulnerabilities found after online application can be blocked in time, and meanwhile, the security defense strategy provided by the invention can be quickly migrated to multiple field applications.

The invention belongs to the field of steelmaking refining, relates to a preparation and use method of a complex deoxidizer for LF slagging, and aims to solve the problems that the existing complex deoxidizer containing elements such as calcium, magnesium, barium, strontium, sodium and potassium is difficult to detect and analyze, the quality is difficult to guarantee, low-melting-point inclusions are formed in steel, the cleanliness of molten steel is influenced, and the molten steel cannot be cleaned easily. According to the invention, the steel ladle top slag after converter or electric furnace tapping is subjected to deoxidation modification, and the desulfurization, deoxidation and inclusion removal functions are improved. The steel slag deoxidizing agent is scientific and reasonable in chemical component design, good in physical performance, wide in material source, simple to prepare, rapid in steel slag deoxidizing, obviously improved in molten steel cleanliness and low in application cost.

The invention provides a direct air carbon capture and dual-alkali method carbon capture coupling system, which comprises a DAC device and a dual-alkali method carbon capture device, the dual-alkali method carbon capture device performs primary capture on flue gas and then exhausts the gas into the DAC device through a fan, the dual-alkali method carbon capture device uses an alkaline solution as a CO2 absorption liquid, the CO2 absorption liquid is used as a CO2 absorption liquid, and the CO2 absorption liquid is used as a CO2 absorption liquid. CO2 absorption rich liquid absorbed by the dual-alkali method carbon capture device is conveyed to the DAC device through a pump to be sprayed, the CO2 absorption rich liquid generated by the DAC device flows back to the dual-alkali method carbon capture device to generate an alkaline solution, the exhausted flue gas in the implementation process of the dual-alkali method carbon capture technology serves as capture inlet gas of the DAC system, and the capture efficiency of CO2 is improved; cO2 absorption rich liquid in a dual-alkali method carbon capture technology is used as alkaline spray liquid required in a DAC system desorption process, so that the comprehensive utilization efficiency of alkaline raw materials is improved.

The invention discloses an ultrasonic imaging guided transcranial nerve regulation and control system and method which are used for solving the technical problem that an existing ultrasonic regulation and control system is too high in application cost. The system comprises a head-mounted annular array ultrasonic transducer, a multi-channel phased array controller and an upper computer which are connected in sequence, the head-mounted annular array ultrasonic transducer is in communication connection with the upper computer; the upper computer is used for determining a target visual target focusing area according to the multiple imaging echo signals and the multiple regulation and control echo signals, and the target visual target focusing area is used for nerve regulation and control; the multi-channel phased array controller is used for generating a low-power electric signal and a high-power electric signal and transmitting the low-power electric signal and the high-power electric signal to the head-mounted annular array ultrasonic transducer; the head-mounted annular array ultrasonic transducer is used for collecting a plurality of imaging echo signals and a plurality of regulation and control echo signals according to the low-power electric signals and the high-power electric signals.

The invention discloses a one-way function generation method, system and device and a storage medium. The generation method comprises the steps of obtaining a preset symmetric encryption algorithm, a zeroth mapping and a first mapping; wherein the zeroth mapping and the first mapping have single and same independent variables, and the first mapping is one-to-one mapping; through the symmetric encryption algorithm, taking the mapping value of the zeroth mapping as an input plaintext, taking the mapping value of the first mapping as an input secret key, and carrying out encryption calculation to obtain a first ciphertext; and taking the mapping relation between the first ciphertext and the independent variable as a generated one-way function. According to the method, the one-way function is constructed by simply multiplexing the symmetric encryption algorithm, a hash algorithm module does not need to be specially introduced, a complex mathematical method does not need to be used for constructing the one-way function either, the application cost of the one-way function can be reduced, and the overhead of related products can be saved. The method can be widely applied to the technical field of cryptography.

The invention provides a machining device for metal powder tailored blank laser welding production. The machining device comprises a machining table, the machining table is connected with a welding room, the welding room is connected with a junction box, the junction box is provided with a magnetic attraction tool, the magnetic attraction tool is provided with a protective baffle, and the protective baffle is provided with a material frame; the welding room is connected with a welding head, the welding head is connected with a powder feeding pipe, the welding head is connected with a laser, the welding head is connected with a sealing ring, the sealing ring is connected with a powder storage barrel, the sealing ring is connected with a rotating disc, and the rotating disc is connected with a driving motor; the sealing ring is connected with an air pump which is connected with an air source. The powder flow is surrounded by the light beams emitted by the multiple lasers, powder can be fully melted on the molten pool and fused with the workpiece, meanwhile, the workpiece can be thoroughly welded, the workpiece is positioned and fixed through the magnetic attraction tool, the welding effect can be well improved, the feeding and discharging efficiency is improved, the production efficiency is improved, and the application cost is greatly reduced.

The invention discloses an LCD protective film surface interference detection device, which comprises a detection platform, a plurality of low-angle light sources and a detection support, the detection platform is used for placing an LCD protective film to be detected, the low-angle light sources are arranged at adjacent positions of the detection platform, and the low-angle light sources are located above the LCD protective film. A camera and a rotary driving mechanism are arranged on the detection support, a lens of the camera is arranged above the LCD protective film, the rotary driving mechanism comprises a vertically arranged driving shaft, a polariscope support is fixed to the lower end of the driving shaft, the polariscope support is perpendicular to the driving shaft, a polariscope is fixed to the polariscope support, and the low-angle light source is used for obliquely irradiating the LCD protective film. The rotation driving mechanism is used for driving the polariscope support to rotate by a preset angle in the horizontal direction until the polariscope is aligned with the lens of the camera. The device is helpful for detecting stains on the membrane and internal stains, and has the characteristics of simple structure, easiness in control, low application cost and the like.

The present invention is a contact / non-contact force-magnetic dual-mode sensing sensor based on a magnetostrictive film. The sensor comprises a sensitive layer, a conversion layer, a conversion circuit and an excitation power supply; the sensitive layer is a magnetostrictive film, the conversion layer is a three-layer flexible graphic circuit, the top layer of the three base layers of the FPC is covered with a copper layer, and the two lower base layers are respectively provided with a pickup coil and an excitation coil; the pickup coil is connected to the conversion circuit, and the excitation coil is connected to the excitation power supply; the copper layer is connected to the ground wire; the sensitive layer is deposited on the top copper coating of the conversion layer. The present invention can directly pick up the magnetization state change in the magnetostrictive film without a mechanical response process, and has the excellent performance of high sensitivity, short response time and recovery time, good compatibility, and full-range perception.

The invention discloses a diselenide-bond-containing poly-beta amino ester carrier for mRNA delivery and a preparation method and application thereof, and the preparation method of the diselenide-bond-containing poly-beta amino ester carrier comprises the following steps: taking a synthesized diselene-1, 6-hexanediol diacrylate monomer (DSEDA) and hydrophobic amine as raw materials to react to obtain a product as a polymer intermediate; the raw material of the hydrophobic amine is one of C8, C12 and C16; the # imgabs0 # hydrophilic amine raw material is one of 2A1, 2A4 and 2A5; a diselenide bond is introduced into a main chain of the structure of the synthesized linear cationic polymer product, tertiary amine N capable of being protonated into cations exists in the main chain structure, and the tertiary amine N can be effectively combined with nucleic acid with negative charges through electrostatic interaction, so that the nucleic acid loading rate is increased; according to the invention, hydrophobic alkane chains with proper number and length are provided, a hydrophobic cavity can be formed when the nanoparticles are formed, the stability of the nanoparticles is improved, and the nanoparticles have good application in delivery of mRNA (messenger Ribonucleic Acid) molecules.

The utility model belongs to the technical field of motor controllers, and provides a high-voltage port filtering device, a motor controller and an electric driving system, and the high-voltage port filtering device comprises a first busbar, a second busbar and a magnetic ring structural member. The first busbar and the second busbar are arranged side by side, and the large side surface of the first busbar and the large side surface of the second busbar are oppositely arranged; the magnetic ring structural member is provided with a first via hole for the first busbar to pass through, a second via hole for the second busbar to pass through and a partition air gap, and the partition air gap is respectively communicated with the first via hole and the second via hole. According to the scheme, common-mode noise suppression and differential-mode noise suppression can be realized on the magnetic ring structural member, so that the electromagnetic compatibility of the filtering device is improved, the application number of corresponding capacitors is reduced, and the application cost is further reduced.

The invention relates to a preparation method of a titanium alloy coating on the surface of a steel base material. The preparation method comprises the following steps: preparing titanium alloy powder; the method comprises the following steps: pretreating a steel base material, and preheating in advance; uniformly coating the tin bronze powder on the surface of the steel base material by using a binder; under argon protection, a copper transition layer is prepared on the surface of a steel base material in a laser cladding mode, and then the surface of a cladding layer is polished to be flat in a machining mode; uniformly coating titanium alloy powder on the surface of the material treated in the step d by using a binder; under argon protection, a titanium alloy coating is prepared on the surface of the steel base material through a laser cladding method; and the surface of the cladding layer is polished to be flat in a machining mode, and preparation of the titanium alloy coating is completed. The titanium alloy coating obtained through the method is fully fused with a base body, defects are avoided, the surface quality of a cladding layer is flat, and the titanium alloy coating has the characteristic of excellent corrosion resistance, can resist salt mist for 3000 h and further has excellent wear resistance.

The invention belongs to the field of big data analysis and processing in a micro-service environment, and relates to a false positive detection method for micro-service call graph abnormity based on fusion of a gated graph neural network (GGNN) and a Deep SVDD. The method comprises the following steps: obtaining a micro-service calling graph through a data set formed by link data of a micro-service log, and preprocessing the micro-service calling graph to obtain a model training data set; constructing an abnormal false positive detection model based on the micro-service calling graph; training the model to obtain normal / abnormal learning parameters of a gated graph neural network (GGNN), and respectively obtaining normal / abnormal Deep SVDD hyperspheres; and inputting to-be-detected suspected abnormal micro-service link data into the model by using the trained false positive detection model, and calculating the abnormal measurement of the micro-service call graph to judge the normal / abnormal state of the overall graph structure of the current micro-service call graph. According to the method, the problems of false positive and high false alarm rate of a current micro-service detection algorithm in an actual production environment can be solved.

The invention discloses a method and system for simulating and predicting the bonding performance of a polymer and a metal material based on molecular dynamics, electronic equipment and a storage medium. The method comprises the following steps: S1, constructing a metal material model, and constructing a polymer model of an LCP molecular chain and modified resin; s2, carrying out annealing treatment on the polymer model, and constructing a metal material-LCP / modified resin system model by utilizing the metal material model and the polymer model; s3, selecting a proper force field for the constructed metal material-LCP / modified resin system model, and performing energy minimization optimization; s4, carrying out molecular dynamics simulation calculation on the optimized model; and S5, analyzing the interface binding energy of the model obtained by calculation. According to the method, proper modified resin can be effectively pre-screened, the application cost is remarkably reduced, experimental resources are saved, and the research and development period is shortened.

The utility model relates to the technical field of battery packs, and provides a complementary cooling device, a liquid cooling system, a battery pack and electric equipment.The complementary cooling device comprises a first liquid cooling plate and a second liquid cooling plate, the first liquid cooling plate and the second liquid cooling plate are arranged in parallel and form a containing space, and the containing space is used for containing a to-be-cooled object; the circulation direction of a cooling medium in the first liquid cooling plate is opposite to the circulation direction of a cooling medium in the second liquid cooling plate; in the flowing direction of the cooling medium, the flow speed of the cooling medium in the first liquid cooling plate and the second liquid cooling plate is gradually increased. According to the scheme, the staggered liquid inlet temperature and liquid outlet temperature can be formed at the two ends of the two side faces of the to-be-cooled object, the heat interaction capacity of the liquid outlet area can be improved, the cooling heat exchange capacity of the to-be-cooled object is improved, and the regional temperature difference is reduced.

The invention belongs to the technical field of automatic detection, and discloses a user-defined photovoltaic panel defect detection method and device based on self-cleaning equipment, and the method comprises the steps: deploying an automatic defect detection device on photovoltaic panel self-cleaning equipment; acquiring a defect detection data set by utilizing an automatic defect detection device; training a defect detection model based on the defect detection data set; and carrying out photovoltaic panel defect identification by using the defect detection model. According to the invention, the automatic defect detection device is deployed on the photovoltaic panel self-cleaning equipment, the flexibility of user customization is improved to the maximum extent, and close-range image acquisition and high-precision defect detection of the photovoltaic panel are realized by using the cleaning process of the self-cleaning equipment.

The invention discloses a dual-power-supply starting system and method for a hybrid electric vehicle, a vehicle and a storage medium. A 12V low-voltage storage battery is connected with a bidirectional DCDC converter; the bidirectional DCDC converter is connected with the controller; the controller is respectively connected with the high-voltage generator and the high-voltage power battery; the high-voltage generator is connected with the engine; when the high-voltage power battery cannot provide high voltage for the high-voltage generator to start the engine, the controller controls the 12V low-voltage storage battery and the bidirectional DCDC converter; 12V low voltage is converted into high voltage through the bidirectional DCDC converter to supply power to the high-voltage generator; when the electric quantity of the 12V low-voltage storage battery is insufficient, the 12V low-voltage storage battery can be supplied with power in a manual power connection mode, and then 12V low voltage is converted into high voltage through the bidirectional DCDC converter to supply power to the high-voltage generator. According to the system, the application cost of the hybrid electric vehicle can be reduced, meanwhile, stable operation of a high-voltage power supply starting mode is guaranteed, and the vehicle use scene is wider.

The invention discloses a minimization modification program repairing method, device and system based on a large language model and a storage medium. The method comprises the steps that a to-be-repaired program and problem description are obtained; initializing the modification line number to be limited to be 1, and setting the temperature of the large language model to be 0; determining all information of the current defect code; based on the set maximum modification line number, reasoning is conducted through a large language model to generate a repair result; verifying the correctness of the repair result by using the test case; when the repair result is correct, the correct repair result is stored in a database, and when the repair result is wrong, 1 is added to the number of modification lines, the large language model conducts reasoning again based on all information of the current defect code, the repair result is updated, and the correctness of the updated repair result is verified through a test case; and if the current modification line number is greater than the set maximum modification line number, directly ending the repair process. According to the method, the program repairing correctness can be effectively improved.

The invention discloses an HSI and ranging data cross-domain classification method and system based on domain expansion and feature decoupling, and aims to solve the problems of single mode, insufficient domain offset simulation and weak generalization ability in the prior art. Preprocessing the HSI and LiDAR data to obtain a source domain sample, and generating an expansion domain sample through frequency domain amplitude disturbance and adversarial domain expansion; extracting basic features by using a multi-stream convolutional neural network, and separating domain specific features and cross-modal and cross-domain domain invariant features; and adaptively fusing the three types of features through an attention network, and inputting the preprocessed target domain data into a trained model to obtain a classification result. Through multi-modal fusion, mixed domain expansion and feature decoupling, the cross-domain classification precision and generalization ability are improved, fine adjustment of target domain data is not needed, application is flexible, and the method is suitable for multi-scene remote sensing ground feature classification.

The invention relates to the field of floating-point multiplication, and particularly discloses a floating-point multiplier based on an FPGA, a calculation method and equipment, and the floating-point multiplier comprises a symbol calculation module which is used for determining the symbol of a target output floating-point number through an exclusive-OR gate and the symbol bits of a first input floating-point number and a second input floating-point number; the index addition module is used for adding the indexes of the first input floating-point number and the second input floating-point number and subtracting the deviation value of the corresponding format to obtain the index output of the target output floating-point number; the binary multiplier module is used for carrying out multiplication operation by using a Karatsuba algorithm and a Urdhva-Tiryagbhyam algorithm based on the mantissa bit widths of the first input floating-point number and the second input floating-point number so as to obtain a mantissa product of the target output floating-point number; and the result normalization module is used for performing normalization operation based on the mantissa product. The calculation delay can be reduced, and the percentage increase of the hardware area is also reduced.